mlsanityData to 14 Oct 2026

A Collection of Innovations in Medical AI for patient records in 2024

arXiv 2503.05768 ↗First posted 25 Feb 2025cs.CY cs.AIcited by 7

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Abstract (arXiv)

The field of Artificial Intelligence in healthcare is evolving at an unprecedented pace, driven by rapid advancements in machine learning and the recent breakthroughs in large language models. While these innovations hold immense potential to transform clinical decision making, diagnostics, and patient care, the accelerating speed of AI development has outpaced traditional academic publishing cycles. As a result, many scholarly contributions quickly become outdated, failing to capture the latest state of the art methodologies and their real world implications. This paper advocates for a new category of academic publications an annualized citation framework that prioritizes the most recent AI driven healthcare innovations. By systematically referencing the breakthroughs of the year, such papers would ensure that research remains current, fostering a more adaptive and informed discourse. This approach not only enhances the relevance of AI research in healthcare but also provides a more accurate reflection of the fields ongoing evolution.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 30 of its 51 references that are in the map. First posted on arXiv 25 Feb 2025.

Builds on

30 of 51 references.

References · 30

  1. 2023GPT-4 Technical Reportcited by 18,396
  2. 2023A Survey of Large Language Modelscited by 2,576
  3. 2024MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmarkcited by 1,848
  4. 2022MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answeringcited by 543
  5. 2024BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domainscited by 301
  6. 2019BEHRT: Transformer for Electronic Health Recordscited by 263
  7. 2024AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environmentscited by 231
  8. 2023MOTOR: A Time-To-Event Foundation Model For Structured Medical Recordscited by 78
  9. 2023Matching Patients to Clinical Trials with Large Language Modelscited by 69
  10. 2024A Closer Look at AUROC and AUPRC under Class Imbalancecited by 57
  11. 2023Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Eventscited by 46
  12. 2024Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRscited by 39
18 more
  1. 2024BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrieverscited by 38
  2. 2024Zero-Shot Clinical Trial Patient Matching with LLMscited by 35
  3. 2024EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summariescited by 35
  4. 2024ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?cited by 32
  5. 2024Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?cited by 28
  6. 2023Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicinecited by 24
  7. 2024CEHR-GPT: Generating Electronic Health Records with Chronological Patient Timelinescited by 22
  8. 2024Can Large Language Models abstract Medical Coded Language?cited by 20
  9. 2024CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRTcited by 20
  10. 2023NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMscited by 14
  11. 2023General-Purpose Retrieval-Enhanced Medical Prediction Model Using Near-Infinite Historycited by 12
  12. 2024ACES: Automatic Cohort Extraction System for Event-Stream Datasetscited by 9
  13. 2024Enhancing Antibiotic Stewardship using a Natural Language Approach for Better Feature Representationcited by 8
  14. 2024CliBench: A Multifaceted and Multigranular Evaluation of Large Language Models for Clinical Decision Makingcited by 8
  15. 2024FEET: A Framework for Evaluating Embedding Techniquescited by 8
  16. 2024Identifying Reasons for Contraceptive Switching from Real-World Data Using Large Language Modelscited by 4
  17. 2024EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Modelscited by 4
  18. 2024Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered carecited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 7.

7 papers.

  1. 2026Learning Clinical Representations Under Systematic Distribution Shiftcited by 2
  2. 2026Discriminative Representation Learning for Clinical Predictioncited by 2
  3. 2026Learning Longitudinal Health Representations from EHR and Wearable Datacited by 1
  4. 2026Uncertainty-Aware Foundation Models for Clinical Datacited by 1
  5. 2026Event Fields: Learning Latent Event Structure for Waveform Foundation Modelscited by 0
  6. 2026WISTERIA: Learning Clinical Representations from Noisy Supervision via Multi-View Consistency in Electronic Health Recordscited by 0
  7. 2026AURORA: Contextual Orthogonalization for Geometric Representation Learning in Healthcare Foundation Modelscited by 0